Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBA38933411935274437C6D530A55B3BE2A6DA4FF9A70A010EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:uSky5NaKO13Lz4NP3+mZY9svblTOCVr0ajIQVxdJAyL:6Lz4NP/y9svbliCd0wN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e13c1c2dc6c3b3 |
|
VISUAL
aHash
|
00ecfef2683c0400 |
|
VISUAL
dHash
|
92ccc8c2cad8ec0c |
|
VISUAL
wHash
|
40fcfefa7c7c0c00 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
92ccc8c2cad8ec0c |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)